Dynamic Data-Driven Application Systems



AFOSR/NSF Co-Sponsored Workshop on

Dynamic Data Driven Applications Systems (DDDAS) - Info-Symbiotic Systems

Arlington Hilton, Arlington, VA

August 30-31, 2010

Workshop Report

Previous Reports


The Dynamic Data Driven Applications Systems (DDDAS) – Info-Symbiotic Systems workshop provides a forum for creating concerted support for a comprehensive set of activities enabling new capabilities engendered through the DDDAS concept.

The workshop features a stellar set of keynote speakers, and brings together a broad research community from academe, industry, labs, and government to discuss wide set of topics on challenges and opportunities, from fundamental research to efforts on comprehensive cyber-infrastructure environments, relating to DDDAS.

Co-sponsored by AFOSR and NSF, and other agencies participation, the workshop will expand on precedent research and programmatic activities, and emerging directions. A report, summarizing the workshop presentations and discussions, will be produced and made broadly available.

Workshop Co-Chairs

Cross-Agencies Committee








Presentation Slides

Preliminary Talks

Plenary Talks

Secondary Talk

Working Group Charges

All WGs - Common and Overarching Issues (Craig Douglas and Abani Patra)

All WGs should address the following common and overarching issues:

(Each WG will address the research challenges and opportunities)

WG1 - Algorithms and Data Assimilation (George Biros and Janice Coen)

DDDAS environments require algorithms, mathematical and statistical, both numeric and non-numeric, that have good convergence properties under perturbations from streamed data into the executing application. DDDAS goes beyond the traditional data-assimilation approaches:

WG2 - Uncertainty Quantification and MultiScale Modeling (Bani Mallick and Dongbin Xiu)

DDDAS environments entail application models that can interface and dynamically interact with the measurement data systems (archival, real-time data acquisition and control systems). Such interaction entails dynamic application models and application components, at runtime, as dictated by the streamed data, and can include dynamic invocation of models at multiple scales? that is "dynamic multi-scale". Models, experiments and observations are all representations and discrete samples of behavior. Quantifying and managing the outcomes of application systems (predictions, control actions, ?) must account for these uncertainties. Such situations ensue new and increased challenges, beyond the traditional multi-scale, and uncertainty quantification considerations.

WG3 - Large and Heterogeneous Data from Distributed Measurement & Control Systems (Alok Chaturvedi and Adrian Sandhu)

DDDAS inherently involves large amounts of data that can result from heterogeneous and distributed sources, collected in differing time-scales and in different formats, and which need to be preprocessed before automatically integrating them to the executing applications that need use the new data.

WG4 - Building an Infrastructure for DDDAS (Gabrielle Allen and Shantenu Jha)

DDDAS integrates real-time sensor and other measurement devices with special purpose data processing systems together with the parts of the application that execute in larger platforms and driving a seamless integration of stationary and mobile devices together with large high-end platforms, entailing grids that go beyond the present computational grids.

WG5 - Systems Software (Srinidhi Varadarajan and Dinesh Mamocha)

Quality of service, program software environments, data massaging, network security, and availability of common libraries are all important to making a DDDAS work in a global manner.

Detailed Agenda

All Plenary Sessions will take place at the Arlington Hilton (950 N. Stafford St.), Mezzanine Level.

Day 1, Monday, August 30, 2010

7:30 AM - 8:15 AM Registration and Refreshments
8:15 AM - 9:00 AM Workshop Welcome
Introductory Remarks by AF, AFOSR, and NSF Leadership, and Co-Chairs
Dr. Frederica Darema, Director, AFOSR Directorate for Mathematics, Information and Life Sciences
Dr. Ed Seidel, Assistant Director, NSF Directorate for Mathematical and Physical Sciences
Dr. Werner Dahm, AF Chief Scientist
Prof. Craig C. Douglas, University of Wyoming, Workshop Co-Chair
Prof. Abani Patra, University of Buffalo, Workshop Co-Chair
9:15 AM - 12:30 Plenary Presentations
9:15 AM - 9:45 AM J. Tinsley Oden, Univ. of Texas, Austin
A Dynamic Data-Driven System for Optimized Laser Treatment of Prostate Cancer
9:45 AM - 10:15 AM Prof. Kelvin K. Droegemeier, Univ. of Oklahoma
DDDAS Applied to High-Impact Local Weather: The LEAD Project
10:15 AM - 10:30 AM Break
10:30 AM - 11:00 AM Prof. Charbel Farhat, Stanford University and Dr. John Michopoulos, Naval Research Laboratory
DDDAS for Material Characterization, Health Monitoring, and Critical Event Prediction of Complex Structures
11:00 AM - 11:30 AM Prof. George E. Karniadakis, Brown University
Predictability and Uncertainty in DDDAS
11:30 AM - 12:00 PM Dr. Sangtae Kim, Morgridge Institute of Research
Is Life a Dynamic Data Driven DNA Application System?
12:00 PM - 12:30 PM Prof. Patrick Jaillet, MIT
Data-Driven Optimization: Illustrations, Opportunities, Some Results, Key Challenges
12:30 PM - 1:30 PM Working Lunch
1:30 PM - 3:30 PM Working Groups Session
3:30 PM - 3:45 PM Break
3:45 PM - 5:00 PM Discussion of Summary Presentations
5:45 PM Adjourn for the day

Day 2, Tuesday, August 31, 2010

8:15 AM - 8:30 AM Refreshments
8:30 AM - 10:00 AM Working Groups Session
10:00 AM - 10:15 AM Break
10:15 AM - 12:00 PM Working Groups Session
12:00 PM - 1:00 PM Working Lunch
1:00 PM - 3:00 PM Working Groups Outbriefing
3:00 PM - 3:30 PM Concluding Discussion
3:30 PM Workshop Ends
3:30 PM - 3:45 PM Break
3:45 PM - 5:00 PM Meeting Only with Working Group Chairs and Organizers

Day 3, Wednesday, September 1, 2010

Initial Write-up of the Report by the Working Group Chairs and Organizers.

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